Every engagement in this series starts from a client's stated priorities, ranked. This client's original order, set at the very beginning, was straightforward: reduce cost first, keep the number of roles manageable second, and preserve how broadly people were already granted access a distant third. Once the first redesign batch was live and departments were actually working inside their new roles, that order changed, in substance, not just in emphasis: preserving access breadth moved to first place, role count stayed second, and cost, the reason the engagement existed in the first place, dropped to third.

That's not an inconsistency to manage around. It's a legitimate response to lived experience: once people have been through one round of change, the cost of revoking something without proof it's unused, a stalled process, a support ticket, a department that no longer trusts the next round, outweighs squeezing out further savings, at least until there's more confidence in the process. We took the new order at face value. The harder question was what it meant for the actual point of the engagement: this is a remediation project, and remediation projects exist because of a real bill. Deprioritizing cost doesn't make that bill smaller.

What the new priority order actually ruled out

With access breadth now the top priority, the lever behind our largest published savings, clustering people by what they actually do rather than by their current role, was off the table. That approach can put someone on a cheaper license entirely, but only by regrouping people across roles based on real usage, which is precisely the kind of change to "how things look" the client had just told us they wanted to avoid. So the design had to keep each role's core built around that role's own current population, trimming only what was clearly incidental. That's a real, different design philosophy from usage-clustering, and it's grounded in exactly what the new priority order asked for: a role stays recognizable as the job people already know.

The first comparison: 26% against 14%

Against the same modeled baseline, our usage-clustered design (still the right answer if cost were priority one) saves roughly 26%. The design built to the client's new order, keeping every role's shape, first came out at roughly 14%. A twelve-point gap, and on the surface it looked like the honest price of the new priorities: give up usage-based regrouping, give up a meaningful chunk of the savings.

We tested the trim threshold first. It didn't move the number.

Bar chart: savings stayed flat at roughly 13 to 14 percent across a wide range of trim thresholds, from the narrowest to the widest tested.

Before accepting a twelve-point gap as final, we checked the most obvious remaining dial: how wide a slice of "rarely touched" access gets trimmed from each role. We swept it from the narrowest reasonable cut to a noticeably wider one. Savings barely moved, staying in a tight 13-14% band the entire way. That ruled out the trim threshold as the lever, without ruling out that a lever existed somewhere else.

The real lever: re-scoping how a role's own price gets built

The remaining question wasn't how much to trim, it was how each role's required license was being determined in the first place. As built, a role's price drew on everything its current members need across every role they hold, not on what that specific role, evaluated on its own, actually requires. Someone who mostly worked in one role but occasionally touched a second, pricier one was pulling that pricier tier into the first role's price too, purely because of what else that person happened to do elsewhere, not because of anything the first role itself demanded.

That's invisible in a usage-clustered design, roles there are already built from what people actually do, so the two ways of scoping a role's price rarely disagree. It's exactly the population a current-role-anchored design cares most about protecting where it matters: every role kept exactly as it already was, priced more accurately than it had been. So we re-scoped the model, deliberately, from pricing a role off a user's full footprint to pricing it strictly off that role's own evidence. Nothing about which roles exist, who holds them, or how wide their coverage is changed. What changed was the strategy behind the one number the client still needed to move: cost, now priority three, but never priority zero.

Bar chart: the design built around the current role structure first calculated at roughly 14% savings; after re-scoping how each role's price was calculated, it recalculated at roughly 19%.

Re-priced this way, the design built to the client's new order recalculated at roughly 19%, not 14%, with meaningfully fewer people landing on a pricier seat than their own work in that specific role required. Five points of real savings were available inside the exact same role structure, the same coverage, the same headcount per role, the client had already told us mattered most. Nothing about their priority order had to be argued with to find it.

Bar chart: the usage-clustered design saves roughly 26% against a modeled baseline; the design built around the current role structure saves roughly 19% after re-scoping how each role is priced.

The remaining gap, 26% against 19%, is real, and it still comes from the same structural source: usage-clustering lets a person's tier follow their actual work, while a current-role-anchored design keeps each role at its own typical tier by definition. But a third of the gap we first reported wasn't a property of the client's priority order at all, it was a property of a pricing strategy we hadn't yet adapted to that order. Once we changed the strategy to match what they'd actually asked for, part of the "cost" of their new priorities turned out not to be a cost at all.

ℹ This wasn't the only thing the reordered priorities touched

The same shift, coverage first, cost third, also surfaced a related question: should access that's technically unused but already free be kept, since removing it doesn't save anything but does mean "something changed"? We built a dedicated setting for that distinction, covered in a companion piece, including a related refinement to the same underlying strategy.

What we told them, and what we'd tell the next client

✓ The honest framing we used

"You changed what matters most to you, and that's a legitimate call, not a complication. It does cost real savings compared to a usage-based redesign, roughly 19% against 26% here. But it doesn't cost as much as it first looked like it would, once we rebuilt our own pricing strategy around your new order instead of measuring your new priority against a method built for the old one. Here's exactly what's left on the table, and why it can't come off without changing what you just told us matters."

Questions we get asked

Isn't it strange that a client would deprioritize cost in a cost-reduction project?

It's a completely understandable response to lived experience, not a contradiction. Once departments have been through one round of change, confidence in the process becomes its own priority, and a client is entitled to weigh that against further savings however they see fit. Our job is to keep finding real savings within whatever order they set, not to talk them back into their original one.

How did you find the re-scoping opportunity?

By not stopping at the trim-threshold sweep's flat result. When the obvious dial didn't move the number, the next question was whether the number was even being built correctly in the first place, not just tuned correctly. That reframing, from "adjust a setting" to "reconsider the strategy," is what surfaced it.

Could this client eventually move to the bigger-savings design?

Yes, nothing about their current priority order forecloses that. Once departments have had time to settle and rebuild confidence in the process, revisiting with the usage-clustered option is a reasonable next step, and the evidence behind it doesn't go stale, it just needs a fresh telemetry window to stay current.